Christiaan de Leeuw
A5090182863- Genetic Associations and Epidemiology
- Bioinformatics and Genomic Networks
- Genetic Mapping and Diversity in Plants and Animals
- Epigenetics and DNA Methylation
- Genetics and Neurodevelopmental Disorders
- Cognitive Abilities and Testing
- Nutrition, Genetics, and Disease
- Health, Environment, Cognitive Aging
- Genomics and Rare Diseases
- Birth, Development, and Health
- Machine Learning in Bioinformatics
- Genetic Syndromes and Imprinting
- Genetic and phenotypic traits in livestock
- Genomic variations and chromosomal abnormalities
- Liver Disease Diagnosis and Treatment
- Coral and Marine Ecosystems Studies
- Marine Sponges and Natural Products
- Sleep and related disorders
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Functional Brain Connectivity Studies
- Single-cell and spatial transcriptomics
- Bipolar Disorder and Treatment
- Migraine and Headache Studies
- Advanced Neuroimaging Techniques and Applications
Amsterdam Neuroscience
2015-2025
Vrije Universiteit Amsterdam
2015-2025
Wageningen University & Research
2020-2024
University of Amsterdam
2013-2018
Cognitive Research (United States)
2017
Radboud University Nijmegen
2012-2017
Amsterdam UMC Location Vrije Universiteit Amsterdam
2013-2015
Naturalis Biodiversity Center
2013-2014
Rotterdam University of Applied Sciences
1998
University Medical Center Utrecht
1998
By aggregating data for complex traits in a biologically meaningful way, gene and gene-set analysis constitute valuable addition to single-marker analysis. However, although various methods currently exist, they generally suffer from number of issues. Statistical power most is strongly affected by linkage disequilibrium between markers, multi-marker associations are often hard detect, the reliance on permutation compute p-values tends make computationally very expensive. To address these...
INTRODUCTION The brain is responsible for cognition, behavior, and much of what makes us uniquely human. development the a highly complex process, this process reliant on precise regulation molecular cellular events grounded in spatiotemporal transcriptome. Disruption can lead to neuropsychiatric disorders. RATIONALE regulatory, epigenomic, transcriptomic features human have not been comprehensively compiled across time, regions, or cell types. Understanding etiology disorders requires...
Abstract We conduct a genome-wide association study (GWAS) of educational attainment (EA) in sample ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A polygenic predictor, or index (PGI), explains 12–16% EA variance contributes to risk prediction for ten diseases. Direct effects (i.e., controlling parental PGIs) explain roughly half the PGI’s magnitude with other phenotypes. The correlation between mate-pair...
Abstract Single-cell RNA sequencing (scRNA-seq) data allows to create cell type specific transcriptome profiles. Such profiles can be aligned with genome-wide association studies (GWASs) implicate specificity of the traits. Current methods typically rely only on a small subset available scRNA-seq datasets, and integrating multiple datasets is hampered by complex batch effects. Here we collated 43 publicly datasets. We propose 3-step workflow conditional analyses within between circumventing...
Antisocial behavior (ASB) places a large burden on perpetrators, survivors, and society. Twin studies indicate that half of the variation in this trait is genetic. Specific causal genetic variants have, however, not been identified.
Educational attainment is associated with many health outcomes, including longevity. It also known to be substantially heritable. Here, we used data from three large genetic epidemiology cohort studies (Generation Scotland, n = ∼17,000; UK Biobank, ∼115,000; and the Estonian ∼6,000) test whether education-linked variants can predict lifespan length. We did so by using members' polygenic profile score for education their parents' Across cohorts, meta-analysis showed that a 1 SD higher was...
Schizophrenia is a highly polygenic brain disorder. The main hypothesis for disease etiology in schizophrenia primarily focuses on the role of dysfunctional synaptic transmission. Previous studies have therefore directed their investigations toward neuronal dysfunction. However, recent shown that apart from neurons, glial cells also play major Therefore, we investigated potential causal involvement 3 principle cell lineages risk to schizophrenia. We performed functional gene set analysis...